Forward Deployed AI Agent Engineer
Cresta
Job Overview
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Job Description
About Cresta
Cresta is dedicated to transforming customer conversations into a competitive advantage by unleashing the full potential of contact centers. Our advanced platform seamlessly blends AI and human intelligence, enabling contact centers to uncover customer insights, identify best practices, automate processes, and empower teams for smarter, faster work.
Founded from the prestigious Stanford AI lab, Cresta boasts a visionary leadership team, including co-founder and chairman Sebastian Thrun (Google X, Waymo, Udacity) and CEO Ping Wu (co-founder of Google Contact Center AI and Vertex AI platform), along with co-founder Tim Shi (an early member of OpenAI).
Join Cresta on an exciting mission to revolutionize the workforce with AI. The future of work is here.
About The Role: Forward Deployed AI Agent Engineer
The AI Agent team at Cresta is focused on building state-of-the-art AI Agents that deliver practical solutions for customers. This involves leveraging the latest Large Language Models (LLMs) and AI Agent systems, while prioritizing cost-effectiveness, security, and reliability.
As a Forward Deployed AI Agent Engineer, you will be at the forefront of deploying impactful AI agents for real-world challenges. You will collaborate closely with customers, software engineers, and machine learning engineers to ensure successful deployments and contribute to the ongoing enhancement of Cresta's core AI platform. This role involves developing intelligent AI agents, integrating them with external systems, and providing hands-on technical expertise throughout the deployment process. Strong engineering skills, adaptability, and excellent customer engagement are essential. If you are self-driven, analytical, and passionate about applying AI practically, this opportunity is for you.
What You'll Do
- AI Agent Development: Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools.
- System Integration: Build seamless AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure smooth workflow.
- Performance Optimization: Optimize AI agent performance, including fine-tuning prompts and configurations, and troubleshoot issues in complex enterprise environments.
- Requirements Gathering: Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into effective AI Agent solutions.
- Demos & Iteration: Conduct interactive demos, present compelling proof-of-concepts to prospective customers, gather feedback, and iteratively refine solutions.
- Project Coordination: Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery. Provide critical feedback to product and engineering, influencing the roadmap with real-world deployment insights.
- Partner Cross-Functionally: Work closely with Product Managers to define agent goals, rapidly iterate based on customer feedback, and shape product capabilities that maximize customer ROI.
- Technical Guidance: Serve as a trusted technical advisor, guiding best practices for AI agent adoption and usage, including architecture design, security, and scalability.
What We're Looking For
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience: 3+ years in software development, AI/ML engineering, or system integration.
- Programming Skills: Proficiency in Python and Golang, with an emphasis on clean, efficient code.
- AI/ML Knowledge: Familiarity with AI/ML concepts; hands-on experience with LLMs and prompt engineering is strongly preferred.
- AI Agent Frameworks: Strong understanding of general AI agent frameworks, function calling, and Retrieval-Augmented Generation (RAG). Hands-on experience building such systems is strongly preferred.
- Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring).
- Integration Expertise: Hands-on experience integrating systems via APIs, webhooks, and data pipelines.
- Communication: Excellent communication and project management skills.
- Analytical Approach: Ability to use data-driven decision-making, including A/B testing and performance monitoring.
- Collaborative Builder: Thrives in cross-functional environments, partnering with PMs and engineers to deliver scalable AI solutions.
Perks & Benefits at Cresta
Cresta offers a comprehensive and people-first benefits package to support your well-being both at work and in life, including a variety of medical benefits, flexible vacation time, and paid parental leave.
Compensation at Cresta
Cresta's compensation philosophy focuses on recognizing impact, rewarding excellence, and investing in its people. We offer competitive, location-based pay reflecting market value, individual experience, skills, and education. Total compensation includes base pay, equity, and a comprehensive benefits package.
Key skills/competency
- AI Agent Development
- Large Language Models (LLMs)
- Prompt Engineering
- System Integration
- Python & Golang
- Cloud Platforms (AWS/GCP/Azure)
- DevOps Practices
- API Integration
- Retrieval-Augmented Generation (RAG)
- Project Management
How to Get Hired at Cresta
- Research Cresta's vision: Study Cresta's mission to revolutionize contact centers with AI, their leadership from Google X and OpenAI, and their focus on practical AI Agent solutions.
- Tailor your resume: Customize your resume to highlight experience in AI/ML engineering, LLMs, prompt engineering, Python/Golang, and system integration. Emphasize contributions to real-world AI deployments.
- Showcase practical AI experience: Prepare to discuss specific projects involving AI agent development, RAG, function calling, and integrations with APIs or CRMs. Demonstrate problem-solving in complex enterprise environments.
- Master the technical interview: Brush up on Python and Golang coding skills, cloud platforms (AWS, GCP, Azure), and DevOps practices. Be ready for in-depth discussions on AI/ML concepts, especially LLMs and agent frameworks.
- Demonstrate customer focus and collaboration: During interviews, provide examples of successful customer engagements, requirements gathering, cross-functional teamwork, and how you translate business needs into technical solutions at Cresta.
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